The Imageomics Institute is hiring a full-time program manager to oversee key NSF grant and sub-grant activities that are implemented within the scope of the Institute. Technical oversight, support, and expertise for the grant(s) is provided by Ohio State University (Translational Data Analytics...
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Members of the Imageomics Institute team have a new paper in Nature Communications entitled "Perspectives in machine learning for wildlife conservation." The authors: Devis Tuia, Benjamin Kellenberger, Sara Beery, Blair R. Costelloe, Silvia Zuffi, Benjamin Risse, Alexander Mathis, Mackenzie W...
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Picture this: Computerized image analysis to help understand evolution. The National Science Foundation has awarded The Ohio State University a $15M grant to lead the creation of a new, interdisciplinary institute and establish a new field of study that has the potential to transform biomedical...
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illustration of bird guide laid over background of countless photographs

Images as the source of information about life

Biologists must analyze traits in order to understand the significance of patterns in the two billion-year evolutionary history of life and to predict future effects of environmental change or genetic manipulation. Images are by far the most abundant source of documentation of life on the planet—but traits of organisms cannot be readily extracted from them.

The question: How do we take hundreds of thousands of images and use them to answer fundamental biological questions about ecology and evolution? At the very least, how do we extract traits, such as the example of a bird guide?

The answer: We make traits computable. Biology meets machine learning and vice versa.

Introducing imageomics (NSF OAC-2118240)

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